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Pelatihan OBS untuk Peningkatan Mutu Layanan Streaming Ibadah Di GKI Tegalrejo Salatiga Suharyadi; Teguh Indra Bayu; Irwan Sembiring
Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Vol. 5 No. 3 (2025)
Publisher : Universitas Kristen Satya Wacana Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/jms.v5i32025p302-311

Abstract

Pandemi COVID-19 telah mengubah cara gereja menyampaikan pelayanan ibadah kepada jemaatnya. Salah satu upaya adaptasi yang dilakukan oleh GKI Tegalrejo Salatiga adalah menyediakan layanan streaming ibadah agar jemaat tetap dapat mengikuti ibadah secara daring. Namun, kualitas teknis penyiaran menjadi tantangan utama, sehingga diperlukan pelatihan penggunaan perangkat lunak Open Broadcaster Software (OBS) untuk meningkatkan mutu layanan streaming. Artikel ini melaporkan hasil kegiatan pengabdian masyarakat yang berfokus pada pelatihan OBS untuk tim multimedia gereja. Pelatihan ini mencakup pengenalan fitur OBS, teknik pengaturan kamera, audio, dan tata letak visual yang mendukung siaran yang lebih berkualitas. Hasil dari pelatihan menunjukkan peningkatan signifikan dalam kualitas streaming ibadah, baik dari segi tampilan visual, kestabilan siaran, maupun pengelolaan sumber daya teknis oleh tim multimedia.
Diversification of Maggot Derivative Products in the Kompas Lestari Program in Makartitama Village, Paninjauan Regency, South Sumatra Amalia, Richa; Putra, Erwin Hendra; Suharyadi
International Journal of Social Science and Community Service Vol. 2 No. 3 (2024): JULY
Publisher : CV. Proaksara Global Transeduka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70865/ijsscs.v2i3.40

Abstract

The success of the Waste Bank in reducing organic and inorganic waste in Makartitama Village, OKU, has inspired PT Pertamina Hulu Energi Ogan Komering to develop the Sustainable Waste Management Group Sinergi PHE Ogan Komering (KOMPAS LESTARI). The primary focus of this program is to utilize organic waste for cultivating Black Soldier Fly (BSF) maggots, which are then used in the production of pellets or alternative fish feed for freshwater aquaculture and liquid organic fertilizer for organic vegetable cultivation. In 2023, the BSF-based products, initially used by the beneficiary groups of Kompas Lestari, are being developed for commercialization. In its third year, Kompas Lestari is embarking on a business incubation phase for processed maggot products. This phase includes training in product diversification, marketing strategies, and registration for Home Industry Food (P-IRT).
Analisis Tren Dan Topik Populer Tugas Akhir Mahasiswa Teknik Informatika Menggunakan Bertopic Dan Lda Studi Kasus: Universitas Mercu Buana Suharyadi; Anggai, Sajarwo; Rivai, Abu Khalid
Jurnal Informatika dan Komputer Vol 16 No 1 (2026): April
Publisher : Sekolah Tinggi Ilmu Komputer PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55794/jikom.v16i1.349

Abstract

In recent years, there has been little systematic mapping of trends and popular topics in student final projects, particularly in the field of Information Technology at Mercu Buana University. This is important because identifying trends can provide insight into the direction of scientific development and student research interests. This study aims to analyze the dominant trends and topics of the past few years in the final projects of Information Technology students at Mercu Buana University. The research object consists of a collection of titles and abstracts of student final projects from 2019 to 2024, totaling 1677 datasets. The data was collected through internal faculty documentation and compiled into a text-based dataset. The analysis process included the stages of preparation, text pre-processing, feature extraction, and the application of two topic modeling methods with BERTopic and LDA. BERTopic uses transformer-based representation and semantic clustering, while LDA utilizes a probabilistic distribution approach. The evaluation was conducted by comparing topic coherence and prediction accuracy to assess the quality and relevance of the results produced by each method. The results showed that there were 15 main topics. Model evaluation was conducted using a coherence score of 0.4 for LDA with an accuracy rate of 100%, while BERTopic had a coherence score of 0.39 with an accuracy rate of 86.01%.